Elsevier

Results in Physics

Volume 20, January 2021, 103758
Results in Physics

A lattice gas model for infection spreading: Application to the COVID-19 pandemic in the Mexico City Metropolitan Area

https://doi.org/10.1016/j.rinp.2020.103758Get rights and content
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Abstract

In this work, we propose a 2D lattice gas model for infection spreading, and we apply it to study the COVID-19 pandemic in the Mexico City Metropolitan Area (MCMA). We compared the spatially averaged results of this model against the MCMA available data. With the model, we estimated the numbers of daily infected and dead persons and the epidemic's duration in the MCMA. In the simulations, we included the small-world effects and the impact of lifting/strengthen lockdown measures. We included some indicators of the goodness of fit; in particular, the Pearson correlation coefficient resulted larger than 0.9 for all the cases we considered. Our modeling approach is a research tool that can help assess the effectiveness of strategies and policies to address the pandemic phenomenon and its consequences.

Keywords

COVID-19
Lattice gas
Data-driven
Pandemic evolution
Mexico City Metropolitan Area

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